Tuning Java on Kubernetes (Arm64): align CPU/memory limits with JVM, use container-aware settings, optimize placement, and leverage OS tuning for better performance.
Learn how to scale AI inference workloads in Java using async and event-driven patterns, maintaining stable APIs while improving performance and resilience.
For heaps exceeding 50 GB, choose G1 for balanced stability, Shenandoah for <10ms concurrent compaction, or ZGC for terabyte-scale orchestration with <1ms pauses.
Learn all about scalable, cloud-native architectures with microservices and serverless technologies, boosting agility, performance, and cost-efficiency.
Create a zero-cost AI application quickly using Ollama and Java with Spring AI — with no extra costs and full compatibility with other LLMs like OpenAI.
In this article, we analyze the key Java 25 features and changes from Java 21, including Gatherers, JEPs, and simplified coding examples for faster adoption.
Genkit Java makes building generative AI features in Java finally simple. With typed inputs/outputs, structured LLM responses, built-in observability, a powerful DevUI.